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Dataset results
882 results for “3d model”
NASA 3D Models: Agena Target Vehicle
Polygons: 31290 Vertices: 19223
NASA 3D Models: Mars Global Surveyor Launch
Model of the Mars Global Surveyor spacecraft. Polygons: 19314 Vertices: 10250
NASA 3D Models: Astronaut Glove
A model of an astronaut’s glove. Polygons: 490 Vertices: 842
NASA 3D Models: Grease Gun
Polygons: 38840 Vertices: 22394
Patient-derived scaffolds of colorectal cancer metastases as an organotypic 3D model of liver metastatic colonization
GEO Series GSE125404. Homo sapiens. 10 samples. Type: Expression profiling by array.
Modeling diverse genetic subtypes of lung adenocarcinoma with a next-generation alveolar type 2 organoid platform [2D and 3D]
GEO Series GSE213974. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Identification of genes involved in CEACAM1-4S mediated lumen formation in a 3D model of mammary morphogenesis
GEO Series GSE17540. Homo sapiens. 2 samples. Type: Expression profiling by array.
An Improved Human 3D Skin Model for Aging Research
GEO Series GSE292398. Homo sapiens. 4 samples. Type: Expression profiling by array.
Data set and 3d model from Emendi M, Sturla F, Ghosh RP, Bianchi M, Piatti F, Pluchinotta FR, Giese D, Lombardi M, Redaelli A, Bluestein D. Patient-Specific Bicuspid Aortic Valve Biomechanics: A Magnetic Resonance Imaging Integrated Fluid-Structure Interaction Approach. Ann Biomed Eng. 2020 Aug 17. doi: 10.1007/s10439-020-02571-4. Epub ahead of print. PMID: 32804291.
<p>Data set and 3d model from Emendi M, Sturla F, Ghosh RP, Bianchi M, Piatti F, Pluchinotta FR, Giese D, Lombardi M, Redaelli A, Bluestein D. Patient-Specific Bicuspid Aortic Valve Biomechanics: A Magnetic Resonance Imaging Integrated Fluid-Structure Interaction Approach. Ann Biomed Eng. 2020 Aug 17. doi: 10.1007/s10439-020-02571-4. Epub ahead of print. PMID: 32804291.</p> <p> </p> <p>This is the abstract:</p> <p>Congenital bicuspid aortic valve (BAV) consists of two fused cusps and represents a major risk factor for calcific valvular stenosis. Herein, a fully coupled fluid-structure interaction (FSI) BAV model was developed from patient-specific magnetic resonance imaging (MRI) and compared against in vivo 4-dimensional flow MRI (4D Flow). FSI simulation compared well with 4D Flow, confirming direction and magnitude of the flow jet impinging onto the aortic wall as well as location and extension of secondary flows and vortices developing at systole: the systolic flow jet originating from an elliptical 1.6 cm<sup>2</sup> orifice reached a peak velocity of 252.2 cm/s, 0.6% lower than 4D Flow, progressively impinging on the ascending aorta convexity. The FSI model predicted a peak flow rate of 22.4 L/min, 6.7% higher than 4D Flow, and provided BAV leaflets mechanical and flow-induced shear stresses, not directly attainable from MRI. At systole, the ventricular side of the non-fused leaflet revealed the highest wall shear stress (WSS) average magnitude, up to 14.6 Pa along the free margin, with WSS progressively decreasing towards the belly. During diastole, the aortic side of the fused leaflet exhibited the highest diastolic maximum principal stress, up to 322 kPa within the attachment region. Systematic comparison with ground-truth non-invasive MRI can improve the computational model ability to reproduce native BAV hemodynamics and biomechanical response more realistically, and shed light on their role in BAV patients' risk for developing complications; this approach may further contribute to the validation of advanced FSI simulations designed to assess BAV biomechanics.</p> <p> </p>
3D Models of yellow coffin lids in the Egyptian Museum in Cairo (EMC)
<p>3D Models of yellow coffin lids in the <strong>Egyptian Museum in Cairo (EMC)</strong></p> <p>The 3D models consider only the external part of coffin lids. </p> <p>The dataset contains:</p> <ol> <li>.zip files with the 3D models generated with the software Agisoft Metashape 1.8.3 (.jpg; .mtl; .obj);</li> <li>.tif files with the orthophtgraphs of the coffins textured and not textured</li> <li>. PDF file with the processing report of 3D model (.pdf)</li> <li>.pdn file with the overlapped layers (orthophotographs textured and not textured, drawings and points) generated with the open source paint. net</li> </ol> <p>The dataset is part of the results of the <strong><a href="https://facesrevealed.museoegizio.it/" target="_blank" rel="noopener">Faces Revealed Project</a></strong>. The project has received funding from the European Union’s Horizon 2020 research and innovation programme under the <strong>Marie Skłodowska-Curie grant agreement No 895130.</strong></p> <p><strong>If you publish material based on datasets contained in this archive, then, in your acknowledgements, please cite the original source, referring to it through the following DOI: 10.5281/zenodo.11003088</strong></p> <p> </p>
3D Model of the yellow coffin of Padiamon in the National Museum of Egyptian Civilization (NMEC)
<p>3D Model of the yellow coffin of Padiamon in the <a href="https://nmec.gov.eg/" target="_blank" rel="noopener"><strong>National Museum of Egyptian Civilization (NMEC)</strong></a></p> <p>The 3D model considers the external part of the lid and case. </p> <p>The dataset contains:</p> <ol> <li>.zip files with the 3D models generated with the software Agisoft Metashape 1.8.3 (.jpg; .mtl; .obj);</li> <li>.tif files with the orthophtgraphs of the coffins textured and not textured</li> <li>. PDF file with the processing report of 3D model (.pdf)</li> <li>.pdn file with the overlapped layers (orthophotographs textured and not textured, drawings and points) generated with the open source paint. net</li> </ol> <p>The dataset is part of the results of the <strong><a href="https://facesrevealed.museoegizio.it/" target="_blank" rel="noopener">Faces Revealed Project.</a></strong> The project has received funding from the European Union’s Horizon 2020 research and innovation programme under the <strong>Marie Skłodowska-Curie grant agreement No 895130</strong></p> <p><strong>If you publish material based on datasets contained in this archive, then, in your acknowledgements, please cite the original source, referring to it through the following DOI: 10.5281/zenodo.11003100</strong></p> <p> </p>
3D models of the yellow coffins in the Museo Gregoriano Egizio, Musei Vaticani
<p>3D models of the yellow coffins in the <strong>Museo Gregoriano Egizio, Musei Vaticani </strong></p> <p><br>The model considers only the external upper part of coffin lids as far down as the lower part of the crossed forearms.</p> <p>The dataset contains .zip file of each coffin with: <br>1. .zip files with the 3D models generated with the software Agisoft Metashape 1.8.3 (.jpg; .mtl; .obj);<br>2. .tif files with the orthophtgraphs of the coffins textured and not textured<br>3. . PDF file with processing report of 3D models (.pdf)<br>4. .pdn file with the overlapped layers (orthophotographs textured and not textured, drawings and points) generated with the open source paint. net</p> <p>The dataset is part of the results of the <a href="https://facesrevealed.museoegizio.it/" target="_blank" rel="noopener"><strong>Faces Revealed Project</strong></a>. The project has received funding from the European Union’s Horizon 2020 research and innovation programme under the <strong>Marie Skłodowska-Curie grant agreement No 895130.</strong></p> <p>Thanks to the <a href="https://www.museivaticani.va/content/museivaticani/en/collezioni/musei/museo-gregoriano-egizio/museo-gregoriano-egizio/progetti-scientifici/vatican-coffin-project.html" target="_blank" rel="noopener"><strong>Vatican Coffin Project </strong></a>and the Curators of the Egyptian Collection, Alessia Amenta and Mario Cappozzo. </p> <p>All the photos are courtesy of the Vatican Coffin Project - @Vatican Coffin Project, Governatorato S.C.V. - Direzione dei Musei</p> <p><strong>If you publish material based on datasets contained in this archive, then, in your acknowledgements, please cite the original source, referring to it through the following DOI: 10.5281/zenodo.11080925</strong></p>
3D Models of yellow coffin lids in the Museo Archeologico Nazionale di Napoli (MANN)
<p>3D Models of yellow coffin lids in the <strong><a href="https://mann-napoli.it/" target="_blank" rel="noopener">Museo Archeologico Nazionale di Napoli (MANN)</a></strong></p> <p>The 3D models consider only the external part of coffin lids </p> <p>The dataset contains. zip file of each coffin with:</p> <ol> <li>.zip files with the 3D models generated with the software Agisoft Metashape 1.8.3 (.jpg; .mtl; .obj);</li> <li>.tif files with the orthophtgraphs of the coffins textured and not textured</li> <li>. PDF file with processing report of 3D models (.pdf)</li> <li>.pdn file with the overlapped layers (orthophotographs textured and not textured, drawings and points) generated with the open source paint. net</li> </ol> <p>The dataset is part of the results of the <strong><a href="https://facesrevealed.museoegizio.it/" target="_blank" rel="noopener">Faces Revealed Project</a></strong>. The project has received funding from the <strong>European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 895130</strong></p> <p><strong>If you publish material based on datasets contained in this archive, then, in your acknowledgements, please cite the original source, referring to it through the following DOI: 10.5281/zenodo.11002992 </strong></p> <p>Thanks to the Curator of the Egyptian Collection, Floriana Miele, the Director of the MANN, Paolo Giulierini, the assistant of the Scientific Office of the MANN, Rita di Maria, and the staff of the ‘consegnatari’ and conservators for their constant help and availability while the photogrammetry was undertaken. </p> <p>All pictures are courtesy of the Ministero dei Beni e delle Attività Culturali e del Turismo - © Museo Archeologico Nazionale di Napoli.</p> <p> </p>
Test dataset 3D model
Open the record for dataset details and reuse information.
Dataset related to article "Frozen Section Analysis and Real-Time Magnetic Resonance Imaging of Surgical Specimen Oriented on 3D Printed Tongue Model to Assess Surgical Margins in Oral Tongue Carcinoma: Preliminary Results"
<p>This record contains raw data related to article “Frozen Section Analysis and Real-Time Magnetic Resonance Imaging of Surgical Specimen Oriented on 3D Printed Tongue Model to Assess Surgical Margins in Oral Tongue Carcinoma: Preliminary Results"</p> <p>Abstract</p> <p><strong>Background: </strong> A surgical margin is the apparently healthy tissue around a tumor which has been removed. In oral cavity carcinoma, a negative margin is considered ≥ 5 mm, a close margin between 1 and 5 mm, and a positive margin ≤ 1 mm. Currently, the intraoperative surgical margin status is based on the visual inspection and tissue palpation by the surgeon and intraoperative histopathological assessment of the resection margins by frozen section analysis (FSA). FSA technique is limited and susceptible to sampling errors. Definitive information on the deep resection margins requires postoperative histopathological analysis.</p> <p><strong>Methods: </strong> We described a novel approach for the assessment of intraoperative surgical margins by examining a surgical specimen oriented through a 3D-printed specific patient tongue with real-time Magnetic Resonance Imaging (MRI). We reported the preliminary results of a case series of 10 patients, prospectively enrolled, with oral tongue carcinoma who underwent surgery between February 2020 and April 2021. Two radiologists with 5 and 10 years of experience, respectively, in Head and Neck radiology in consensus evaluated specimen MRI and measured the distance between the tumor and the specimen surface. We performed intraoperative bedside FSA. To compare the performance of bedside FSA and MRI in predicting definitive margin status we computed the weighted sensitivity (SE), specificity (SP), accuracy (ACC), area under the ROC curve (AUC), F1-score, Positive Predictive Value (PPV), and Negative Predictive Value (NPV). To express the concordance between FSA and <em>ex-vivo</em> MRI we reported the jaccard index.</p> <p><strong>Results: </strong> Intraoperative bedside FSA showed SE of 90%, SP of 100%, F1 of 95%, ACC of 0.9%, PPV of 100%, NPV (not a number), and jaccard of 90%, and <em>ex-vivo</em> MRI showed SE of 100%, SP of 100%, F1 of 100%, ACC of 100%, PPV of 100%, NPV of 100%, and jaccard of 100%. These results needed to be validated in a larger sample size of 21- 44 patients.</p> <p><strong>Conclusion: </strong> The presented method allows a more accurate evaluation of surgical margin status, and the first clinical experiences underline the high potential of integrating FSA with <em>ex-vivo</em> MRI of the fresh surgical specimen.</p>
Example simulation showing spatial and temporal variations in surface carbon biomass of plankton functional groups during a Spring bloom as shown by a 3D hydrodynamic-biogeochemical model (FVCOM-ERSEM), with and without integration of the mixoplankton paradigm.
<p>The outputs are from simulations from using the FVCOM hydrodynamic model coupled to two different versions of ERSEM – (i) ERSEM and (ii) ERSEM-PB (the latter includes the implementation of the mixoplankton paradigm through integration of the 'Perfect Beast' PB model; Flynn and Mitra 2009 <em>Journal of Plankton Research</em>).</p> <p>The FVCOM domain was configured to represent Lyme Bay: a protected bay on the South Coast of England. This region is an important area for shellfish aquaculture. The domain was configured at 350 m – 5 km high-resolution, resolving sub-km scale dynamics in the area. A nested modelling approach of increasing model resolution was set up using two model domains. For the coupled hydrodynamic-biogeochemical model, a parent domain of 1.5 km – 10 km resolution was used to drive Lyme Bay model domain. The atmospheric forcing was provided by a 3-step downscaling of GFS global datasets to reach the 3 km of the final model domain using the Weather Research Forecast (WRF) model. Hydrodynamic boundary conditions are extracted from the European Copernicus Marine System North West European Shelf Forecast system. River flows were extracted from a National scale hydrology model run by the Center for Hydrology and Ecology in the UK. Simulations were initialised at Jan 1<sup>st</sup> 2005, and spun up for 3 months prior to the output of the data visualised in these videos. </p> <p>The 6 videos portray spatial and temporal variation of daily averaged surface carbon biomass (μgC L<sup>-1</sup>) during the month of April 2005 for the different plankton functional types (FTs) as follows:</p> <ul> <li>Video 1: all phytoplankton FTs in standard ERSEM grouped together. These thus include diatoms, nano-, pico- and micro- plankton; i.e., these simulations do not discriminate between phytoplankton and constitutive mixoplankton (CM).</li> <li>Video 2: phytoplankton FT in ERSEM-PB now considering only diatoms and picoplankton (i.e., cyanobacteria) only; CM are now included in Video 3 outputs.</li> <li>Video 3: all mixoplankton FTs grouped together in ERSEM-PB. These outputs thus include biomasses of micro-CM, nano-CM and NCM.</li> <li>Video 4: all zooplankton FTs grouped together in standard ERSEM. Thus, these include nanoflagellates, meso- and micro- zooplankton and thus includes the primary producing non-constitutive mixoplankton</li> <li>Video 5: zooplankton FT representing only the heterotrophic nano- and micro- zooplankton in ERSEM-PB.</li> <li>Video 6: spatio-temporal variability between the constitutive and non-constitutive mixoplankton functional groupings within FVCOM-ERSEM-PB. </li> </ul> <p>For further information about the mixoplankton paradigm, please see the following open access publications and references there in:</p> <p>Mitra A, Caron DA, Faure E, Flynn KJ, Leles SG, Hansen PJ, McManus GB, Not F, Gomes HR, Santoferrara L, Stoecker DK, Tillmann U (2023) <strong>The Mixoplankton Database – diversity of photo-phago-trophic plankton in form, function and distribution across the global ocean</strong>. <em>Journal of Eukaryotic Microbiology</em>, e12972. <a href="https://doi.org/10.1111/jeu.12972">https://doi.org/10.1111/jeu.12972</a></p> <p>Glibert PM, Mitra A (2022) <strong>From webs, loops, shunts, and pumps to microbial multitasking: evolving concepts of marine microbial ecology, the mixoplankton paradigm, and implications for a future ocean</strong>. <em>Limnology and Oceanography</em> 67: 585-597 <a href="https://doi.org.10.1002/lno.12018">https://doi.org.10.1002/lno.12018</a> </p> <p>Mitra A, Irigoien X (2022) <strong>Mixoplankton – Marine Organisms that break the rules</strong>. EU Researcher. <a href="https://issuu.com/euresearcher/docs/mixitin_eur28_h_res">https://issuu.com/euresearcher/docs/mixitin_eur28_h_res</a> </p> <p>Flynn KJ, Mitra A, Anestis K, Anschütz AA, Calbet A, et al. (2019) <strong>Mixotrophic protists and a new paradigm for marine ecology: where does plankton research go now?</strong> <em>Journal of Plankton Research</em> 41: 375-391 <a href="https://doi.org/10.1093/plankt/fbz026">https://doi.org/10.1093/plankt/fbz026</a></p>
Gene expression after treatment in a 3D lung tumor model in comparison to conventional 2D cell culture
GEO Series GSE79078. Homo sapiens. 8 samples. Type: Expression profiling by array.
Investigation of the molecular effects of a dexpanthenol-containing ointment and liquid in the aftercare treatment of acute radiodermatitis and mucositis using newly developed 3D models for both skin
GEO Series GSE150738. Homo sapiens. 6 samples. Type: Expression profiling by array.
NASA 3D Models: Cassini
Cassini spacecraft model.
Data set from Spinelli D, Marconi S, Caruso R, Conti M, Benedetto F, De Beaufort HW, Auricchio F, Trimarchi S. 3D printing of aortic models as a teaching tool for improving understanding of aortic disease. J Cardiovasc Surg (Torino). 2019 Oct;60(5):582-588. doi: 10.23736/S0021-9509.19.10841-5. Epub 2019 Jun 26. PMID: 31256581.
<p>Data set from Spinelli D, Marconi S, Caruso R, Conti M, Benedetto F, De Beaufort HW, Auricchio F, Trimarchi S. 3D printing of aortic models as a teaching tool for improving understanding of aortic disease. J Cardiovasc Surg (Torino). 2019 Oct;60(5):582-588. doi: 10.23736/S0021-9509.19.10841-5. Epub 2019 Jun 26. PMID: 31256581.</p> <p> </p> <p>This is the abstract:</p> <p><strong>Background: </strong>A geometrical understanding of the individual patient's disease morphology is crucial in aortic surgery. The aim of our study was to validate a questionnaire addressing understanding of aortic disease and use this questionnaire to investigate the value of 3D printing as a teaching tool for surgical trainees.</p> <p><strong>Methods: </strong>Anonymized CT-angiography images of six different patients were selected as didactic cases of aortic disease and made into 3D models of transparent rigid resin with the Vat-photopolymerization technique. The 3D aortic models, which could be disassembled and reassembled, were displayed to 37 surgical trainees, immediately after a seminar on aortic disease. A questionnaire was developed to compare the trainees' understanding before (T0) and after (T1) demonstration of the 3D printed models.</p> <p><strong>Results: </strong>A panel of 15 experts participated in evaluating face and content validity of the questionnaire. The questionnaire validity was established and therefore the information investigated by the questionnaire could be synthetized using the mean of the items to indicate the understanding. The participants (mean age 28 years, range 26-34, male 59%) showed a significant improvement in understanding from T0 (median=7.25; IQR=1.50) to T1 (median=8.00; IQR=1.50; P=0.002).</p> <p><strong>Conclusions: </strong>Preliminary data suggest that the use of 3D-printed aortic models as a teaching tool was feasible and improved the understanding of aortic disease among surgical trainees.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.